Evidence map›Paper›PMID 40140729›Full record

ArticleEndocrinology, diabetes & metabolism2025

Sex-Specific Impact of Metabolic Dysfunction-Associated Fatty Liver Disease on Incident Cardiovascular Diseases and Mortality.

Mahsa Abbaszadeh, Farhad Hosseinpanah, Maryam Tohidi, Sahar Karimpour Reyhan, Maryam Mahdavi, Majid Valizadeh

Abstract read
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Article in Endocrinology, diabetes & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mahsa AbbaszadehEndocrinology and Metabolism Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2748-6111
Farhad HosseinpanahObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.
Maryam TohidiPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sahar Karimpour ReyhanEndocrinology and Metabolism Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2669-6942
Maryam MahdaviObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.
Majid ValizadehObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsConsidering recent revisions in the nomenclature for fatty liver disease, alongside limited data on sex-specific differences in its cardiovascular/mortality outcomes, this study aims to investigate the prevalence and impact of metabolic-associated fatty liver disease (MAFLD) on cardiovascular disease (CVD) and mortality in men and women over a 12-year follow-up period.

methodsIn this large population-based cohort study, 7101 individuals aged ≥ 30 were enrolled. The prevalence of MAFLD was investigated in both genders. After excluding individuals with a history of previous CVD, 6331 participants were followed up for CVD and mortality over 12 years. Steatosis was defined as fatty liver index (FLI) ≥ 60. Multivariate-adjusted hazard ratios (HRs) were calculated for CVD and mortality.

resultsThe prevalence of MAFLD was 43.2%, higher in men (46.5%) than women (40.6%). Men with MAFLD (47.7 ± 12.1) were younger than women (52.2 ± 11.1). In the 12-year follow-up of 6331 individuals, multivariable-adjusted CVD HRs for MAFLD were 1.36 (1.10-1.67) in men and 1.48 (1.16-1.88) in women. Adjusted mortality HRs were 1.17 (0.86-1.59) and 1.38 (1.00-1.91) in men and women, respectively. Among patients with MAFLD, a subgroup with diabetes faced the highest hazard for CVD and mortality.

conclusionThis study found that MAFLD is more common in men at a younger age. Despite the higher prevalence in men, women with MAFLD face a greater risk of cardiovascular events and mortality. Findings highlight the importance of gender-specific considerations in primary prevention programmes for MAFLD-related cardiovascular disease and mortality.

Indexed as

Cardiovascular DiseasesFatty LiverNon-alcoholic Fatty Liver DiseaseAdultAgedCohort StudiesFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsSex Factorscardiovascular diseasemetabolic dysfunction‐associated fatty liver diseasesmortalitynon‐alcoholic fatty liver disease

Identifiers

PMID40140729
PMCPMC11946537

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.